Impact Evaluation Surveys of Business Training for Women 2009-2011
Sri Lanka, 2009 - 2011
David McKenzie, Suresh de Mel, Christopher Woodruff
Identification
Survey ID Number
LKA_2009_IEBTW_v01_M
Title
Impact Evaluation Surveys of Business Training for Women 2009-2011
Country
| Name | Country code |
|---|---|
| Sri Lanka | LKA |
Study type
Enterprise Survey [en/oth]
Abstract
Self-employment accounts for a large share of female employment in most developing countries, and it is considered an important avenue for women's economic empowerment. However, the majority of female-owned enterprises are small in scale with commensurately low earning levels.
Researchers from the World Bank, University of Peradeniya, and Warwick University designed an impact evaluation study to investigate the effectiveness of business training to increase female labor force participation and to raise the income levels of low-earning women already in business in Sri Lanka.
The International Labor Organization's Start-and-Improve Your Business (SIYB) program is one of the most common training courses in developing countries. This program has been given to over 4.5 million people in more than 95 countries.
In Sri Lanka, using a randomized design, researchers tested whether the impact of SIYB training alone differed from the training combined with access to capital in the form of a grant. Two samples were chosen. The first sample consisted of 624 women operating a business and earning an income of less than $2 per day. The second sample consisted of 628 women who were out of the labor force at baseline, but who expressed interest in starting a business within the next year. The first sample was referred to as "current business owners" and the second - as "potential business owners." Each sample was randomized into three groups: a control group, a group invited to attend training, and a group invited to receive the training and a grant of $129, conditional on completing the training.
A baseline survey was conducted in January 2009. Training took place in April and May 2009, and the cash grants were distributed in June 2009. Four rounds of follow-up surveys were carried out in September 2009, January 2010, September 2010, and June 2011 (rounds 2, 3, 4 and 5 respectively). The follow-up surveys asked detailed information about business outcomes, including the key performance measures of business profits in the last month, sales in the last month, and capital stock (including raw materials and inventories).
Researchers from the World Bank, University of Peradeniya, and Warwick University designed an impact evaluation study to investigate the effectiveness of business training to increase female labor force participation and to raise the income levels of low-earning women already in business in Sri Lanka.
The International Labor Organization's Start-and-Improve Your Business (SIYB) program is one of the most common training courses in developing countries. This program has been given to over 4.5 million people in more than 95 countries.
In Sri Lanka, using a randomized design, researchers tested whether the impact of SIYB training alone differed from the training combined with access to capital in the form of a grant. Two samples were chosen. The first sample consisted of 624 women operating a business and earning an income of less than $2 per day. The second sample consisted of 628 women who were out of the labor force at baseline, but who expressed interest in starting a business within the next year. The first sample was referred to as "current business owners" and the second - as "potential business owners." Each sample was randomized into three groups: a control group, a group invited to attend training, and a group invited to receive the training and a grant of $129, conditional on completing the training.
A baseline survey was conducted in January 2009. Training took place in April and May 2009, and the cash grants were distributed in June 2009. Four rounds of follow-up surveys were carried out in September 2009, January 2010, September 2010, and June 2011 (rounds 2, 3, 4 and 5 respectively). The follow-up surveys asked detailed information about business outcomes, including the key performance measures of business profits in the last month, sales in the last month, and capital stock (including raw materials and inventories).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
1) Female current business owners.
This group consisted of self-employed women who worked more than 20 hours per week in self-employment, were involved in a sector other than seasonal agriculture or fisheries, and had monthly profits of 5000 Rs or less (the median in the general population of female self-employed).
2) Female potential business owners.
This group consisted of women who were out of the labor force, but who were likely to enter the labor force within the next year. For females out of the labor force and between 25 and 45 years of age, the screening survey asked directly whether the woman planned to enter self-employment in the next year, as well as the nature of the business that she planned to start. As a signal of seriousness of intent, researchers sampled only women who were able to identify the type of business that they planned to start. Since the ability to participate in full-day business training program was important for the proposed intervention, respondents were also asked about the availability of child care for any children younger than five years of age.
This group consisted of self-employed women who worked more than 20 hours per week in self-employment, were involved in a sector other than seasonal agriculture or fisheries, and had monthly profits of 5000 Rs or less (the median in the general population of female self-employed).
2) Female potential business owners.
This group consisted of women who were out of the labor force, but who were likely to enter the labor force within the next year. For females out of the labor force and between 25 and 45 years of age, the screening survey asked directly whether the woman planned to enter self-employment in the next year, as well as the nature of the business that she planned to start. As a signal of seriousness of intent, researchers sampled only women who were able to identify the type of business that they planned to start. Since the ability to participate in full-day business training program was important for the proposed intervention, respondents were also asked about the availability of child care for any children younger than five years of age.
Version
Version Description
- v01: Edited, anonymous datasets for public distribution.
Scope
Notes
The scope of the study includes:
- personal and business information,
- education and employment background,
- childhood and family background,
- finance and loans information,
- assets, income, expenses and profit,
- choice of sector,
- informality and training,
- competitive environment,
- business skills and practices score-card,
- expectations, attitudes, behaviors,
- trust and Raven test
- risk attitudes and recall abilities.
- personal and business information,
- education and employment background,
- childhood and family background,
- finance and loans information,
- assets, income, expenses and profit,
- choice of sector,
- informality and training,
- competitive environment,
- business skills and practices score-card,
- expectations, attitudes, behaviors,
- trust and Raven test
- risk attitudes and recall abilities.
Coverage
Geographic Coverage
Two largest urban areas in Sri Lanka - greater Colombo and greater Kandy.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| David McKenzie | World Bank |
| Suresh de Mel | University of Peradeniya |
| Christopher Woodruff | Warwick University |
Funding Agency/Sponsor
| Name |
|---|
| World Bank |
Other Identifications/Acknowledgments
| Name | Role |
|---|---|
| Sri Lankan Business Development Council | Delivering the training program |
Sampling
Sampling Procedure
The sample was chosen in two largest urban areas in Sri Lanka - greater Colombo and greater Kandy. Within each of the two urban areas, researchers selected 5 D.S. divisions in urban and semi-urban areas. There are four administrative levels in Sri Lanka: Provinces (9), Districts (25), Divisional Secretariat (D.S.) Divisions (324), and Grama Niladari (G.N.) Divisions (14,008). A training venue was located in each of the ten D.S. Divisions, thus minimizing the required travel time for project participants.
Within each D.S. division researchers then conducted a door-to-door screening exercise in selected G.N. Divisions. The short screening survey gathered employment information on females aged 25 to 45 living in the household. Based on the screening, a sample of 628 current business owners and 628 potential business owners was selected. This sample was stratified to take approximately 63 of each type in each D.S., in order to have equal sized groups at each training location.
Detailed information about sampling and randomization procedures is available in "Business Training and Female Enterprise Start-up, Growth, and Dynamics: Experimental evidence from Sri Lanka" report.
Within each D.S. division researchers then conducted a door-to-door screening exercise in selected G.N. Divisions. The short screening survey gathered employment information on females aged 25 to 45 living in the household. Based on the screening, a sample of 628 current business owners and 628 potential business owners was selected. This sample was stratified to take approximately 63 of each type in each D.S., in order to have equal sized groups at each training location.
Detailed information about sampling and randomization procedures is available in "Business Training and Female Enterprise Start-up, Growth, and Dynamics: Experimental evidence from Sri Lanka" report.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2009-03 | 2011-06 |
Data Collection Mode
Face-to-face [f2f]
Data Collectors
| Name |
|---|
| Kandy Consulting Group Pvt. Ltd |
Questionnaires
Questionnaires
A separate questionnaire was designed for each of the five rounds for current firm owners and each of the five rounds for potential firm owners.
After the second round, potential firm owners who had opened a business were instead given the current firms questionnaires. After the third round, firm owners who had said they operate more than one business in the previous round were given the multi-firm questionnaire.
After the second round, potential firm owners who had opened a business were instead given the current firms questionnaires. After the third round, firm owners who had said they operate more than one business in the previous round were given the multi-firm questionnaire.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| David McKenzie | World Bank | dmckenzie@worldbank.org |
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the identification of the primary investigator,
- the title of the survey (including country, acronym and year of implementation),
- the survey reference number,
- the source and date of download.
Example:
David McKenzie, World Bank, Suresh de Mel, University of Peradeniya, Christopher Woodruff, Warwick University. Sri Lanka Impact Evaluation Surveys of Business Training for Women (IEBTW) 2009-2011, Ref. LKA_2009_IEBTW_v01_M. Dataset downloaded from [URL] on [date].
- the identification of the primary investigator,
- the title of the survey (including country, acronym and year of implementation),
- the survey reference number,
- the source and date of download.
Example:
David McKenzie, World Bank, Suresh de Mel, University of Peradeniya, Christopher Woodruff, Warwick University. Sri Lanka Impact Evaluation Surveys of Business Training for Women (IEBTW) 2009-2011, Ref. LKA_2009_IEBTW_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
DDI Document ID
DDI_LKA_2009_IEBTW_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank | Documentation of the study |
Date of Metadata Production
2013-06-17
DDI Document version
v01 (June 2013)